Abstract | ||
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Collective intelligence refers to the intelligence that emerges from local interactions among individual people. In the last few decades, Web 2.0 technologies have enabled new forms of collective intelligence that allow massive numbers of loosely organized individuals to interact and create high quality intellectual artifacts. In computer and information science disciplines, automated computational methods are developed to analyze Web-based collective intelligence and the factors that may influence the phenomenon. To set the research agenda in this direction, we reviewed the relevant studies focusing on those that analyzed different aspects of discourse-centric collective intelligence. We present here our review results, the identified gaps, and our suggested directions. |
Year | DOI | Venue |
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2015 | 10.1109/HICSS.2015.193 | System Sciences |
Keywords | Field | DocType |
internet,artificial intelligence,text analysis,web 2.0 technology,computational analysis,conversational text,discourse-centric collective intelligence,collective intelligence,content analysis,mass communications,network analysis,text mining,encyclopedias,dictionaries | Data science,Content analysis,Web intelligence,Computer science,Collective intelligence,Encyclopedia,Phenomenon,Computational analysis,Information and Computer Science | Conference |
ISSN | Citations | PageRank |
1530-1605 | 0 | 0.34 |
References | Authors | |
39 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Taraneh Khazaei | 1 | 16 | 4.42 |
Lu Xiao | 2 | 38 | 9.44 |